Aware Robotics, based at ITU Technopark, is pioneering robotics and autonomous systems across industrial and agricultural domains. Our work spans robotic manipulators, autonomous field robots, and next-generation mobility platforms operating in challenging outdoor and semi-structured environments. We are building a strong autonomy team to deliver robust, real-world robotic systems.

www.awarerobotic.com

We are seeking a highly motivated engineer to contribute to the development of autonomous robotic systems, covering the full pipeline from low-level embedded software to real-world operation and field deployment.

• Position: Embedded Software & Robotics Engineer
• Work Type: Full-time (On-site)
• Location: Istanbul /Başakşehir

• Develop embedded software in C/C++ on STM32 or similar ARM Cortex-M platforms (bare-metal or RTOS)
• Integrate and debug sensors and actuators using SPI, I²C, UART, CAN, and other relevant interfaces
• Implement and maintain state estimation and sensor fusion for mobile and field robots
• (e.g., EKF/UKF with IMU, odometry, LiDAR, and/or vision)
• Build robust localization solutions for both GNSS-available and GNSS-denied operation
• Contribute to navigation pipelines, including planning, obstacle avoidance, path tracking, and terrain-aware behaviors
• Support mapping and SLAM-based navigation when required
• Apply AI methods where they provide clear value; experience with Reinforcement Learning (RL) is a plus
• Collaborate with mechanical, electronics, and test teams for system integration, calibration, and field deployment
• Improve system reliability through logging, diagnostics, validation testing, and lightweight CI/CD practices for robotics software
  

• Strong programming skills in C/C++ (Python is a plus)
• Practical embedded systems experience on STM32 / ARM Cortex-M, including real-time constraints and hardware debugging
• Solid understanding of state estimation, sensor fusion, and control fundamentals
• Proven experience in robot localization and navigation, including at least one GPS-independent approach
• Hands-on robotics delivery experience, including system integration, real-world testing, and debugging using real logs and data
• Strong communication and teamwork skills, with the ability to own tasks end-to-end
• Excellent command of English
  

• Experience with legged robots, locomotion-related state estimation, or extensive field testing
• Experience with ROS 2 and familiarity with robotics middleware tools
• Experience with SLAM/VIO, mapping pipelines, or long-term autonomy robustness practices
• Experience with Reinforcement Learning tools and a sim-to-real evaluation mindset
• Experience tuning MPC, LQR, or PID controllers on real robotic systems
  

• Work on real-world autonomy problems, including GNSS-denied navigation
• A collaborative R&D-focused environment with a strong engineering culture
• Deep hands-on experience across embedded systems, navigation, localization, and AI